AI is booming. New use cases are emerging each day. To capitalize on the technology’s potential, enterprises require data at scale. In many cases, though, the relevant information is blocked or unstructured, which limits its use by AI models. To understand this challenge, consider the foundation of the web itself. The web was not designed…
For nearly as long as the web has existed, web development has wrestled mightily with the right way to connect components over the network. This is the question of the remote API. It influences every aspect of the software we build. We sort of arrived at a tolerable compromise with JSON APIs. While these have their limitations, you have to appreciate their underlying simplicity.
But the advent of AI-enabled endpoints that can mediate intent is changing the basic workings of the internet. This change is gradually reawakening an old dream, the service-oriented architecture (SOA). This time around, with luck, we’ll finally gain the flexible, discoverable, and maintainable automated service discovery we’ve longed for. Fingers crossed.
Why old-school SOA failed
Let’s call this burgeoning influence of AI on web architecture SOA 2.0.
To understand why SOA 2.0 is different from SOA 1.0, we have to remember the trauma of the 2000s. (This may be painful but also cathartic.) The original dream o
Most people used ChatGPT like a smarter search engine. Ask a question, get an answer, and move on. It works but it leaves a surprising amount of value on the table. Over the past few years, ChatGPT has evolved far beyond a simple chatbot. It can browse the web, analyze files, generate images, maintain memory, […]
The post Most People Use ChatGPT Wrong: 10 Features and Tips That Changed How I Work appeared first on Analytics Vidhya.
Enterprises are moving agentic AI from proof of concept to production — and the next generation of AI factories are built for the era of agents. At HPE Discover Las Vegas, running through Thursday, June 18, NVIDIA and HPE are expanding the HPE AI Factory with NVIDIA, including NVIDIA Vera CPU and NVIDIA Agent Toolkit […]
Enterprises are increasingly investing copious amounts of cash in AI without a lot to show for it. This could be, in part, because the wrong people are leading the change.
As I’ve argued before, AI isn’t likely to eliminate developers so much as change what we need from them. For example, we keep asking whether junior developers are needed in a world where large language models can write code faster and cheaper. What this overlooks is the reality that these younger developers and their relative inexperience may be exactly what we need to rewrite the rules of software development.
This thought hit me while reading James Governor’s riff on something Ben Griffiths wrote about our industry’s habit of confusing age with authority. Griffiths remembered sitting through a conference talk in which a speaker tried to shame a young audience for not recognizing some of the older men who had shaped computing. The irony, Ben noted, was that many of those “old men” had done their world-changing wor
